Title :
Histogram Shift Steganography: A Technique to Thwart Histogram Based Steganalysis
Author :
Mohsenzadeh, Yalda ; Mohajeri, Javad ; Ghaemmaghami, Shahrokh
Author_Institution :
Sharif Univ. of Technol., Tehran, Iran
Abstract :
We present an image steganographic technique to preserve the first-order and the second-order statistics of the host image. Experimental results show that the proposed method can preserve the image quality and also resists typical statistical analysis based attacks. The new steganography method solves the distortion problem with the HKC algorithm and hence thwarts the Kuo attack. The method is based on the idea of histogram shift, in which two empty bins are produced in the image histogram that are then filled up using their neighboring bins through the embedding process.
Keywords :
data encapsulation; image processing; statistical analysis; steganography; watermarking; first order statistics; histogram shift steganography; image quality; image steganographic technique; second order statistics; thwart histogram based steganalysis; Computer science; Data encapsulation; Histograms; Image quality; Java; Pixel; Security; Statistical distributions; Statistics; Steganography;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.788